Thomas Godwin
Latest from Thomas Godwin
Disaggregated AI inference is proving to be more than a complementary answer to the prefill and decode bottleneck slowing enterprise AI at scale, and Cerebras and AMD just announced a partnership to build the fastest version of it in the world. The …
Knowledge graph architecture gives enterprises ownership of the AI intelligence they create
Knowledge graph architecture has emerged from the concept stage, consigned to the realm of academia, to the production infrastructure stage, and the enterprises that shape it the right way will own the intelligence their AI creates. That’s the central premise Shan Rizvi …
Vultr targets open composable stacks and AMD partnership to lead cloud AI infrastructure
Cloud AI infrastructure is shifting into a new cycle, defined by who can deliver the strongest performance per dollar on a global setup that also meets different countries’ sovereignty rules. That’s the premise Vultr is executing on, according to Kevin Cochrane (pictured), chief …
HPE targets HPC and AI infrastructure convergence as supercomputing scale meets enterprise AI
HPC AI infrastructure is no longer a parallel track to traditional computing. They are merging into a unified computing foundation that the supercomputing world has been building toward for years. The same infrastructure once reserved for national laboratory modeling and simulation has …
AWS EC2 compute evolves to meet agentic AI and physical AI demand
Twenty years on, AWS EC2 compute is meeting demand shaped by agentic AI, physical AI, and customers pushing general-purpose cloud infrastructure into new territory its earliest architects never anticipated. That growth is permeating throughout every layer of the platform, according to Art …
Nutanix and AMD build enterprise AI stack to take agents from pilot to production
Enterprise AI ambition is far outpacing the readiness of the enterprise AI stack, and the growing rift between proof-of-concept deployments and production-scale agent operations is where most organizations are grounded. Closing that rift is the fundamental basis of the partnership between Nutanix …
DDN targets GPU efficiency with AI data infrastructure as the make-or-break layer
The race to build AI factories is well underway, and the winning organizations have learned that AI data infrastructure determines whether or not GPU investments pay off, while others are still scrambling to assemble workable solutions. That divide is the clearest indicator …
Everpure launches Enterprise Data Cloud Blueprint to improve AI returns
Fragmented data, siloed infrastructure and reactive portfolios are problems that every enterprise has to deal with. Fixing them efficiently requires a completely new operating model — one that the Enterprise Data Cloud is designed to deliver. That need is the basis for …
Data-ready AI infrastructure begins with trusted data and consultative partnerships
Getting to production-ready AI requires much more than fast storage. Enterprises need data-ready AI infrastructure that’s built on clean, governed and well-understood data before any meaningful deployment can scale. It’s a shift that’s redefining what partners bring to the table, according to Hope …
Crusoe AI puts energy first to power sustainable AI infrastructure at scale
For Crusoe AI, a sustainable AI infrastructure has always been the founding premise, a welcome alternative amid a surge of antipathy for data centers in local communities. The company takes a vertically integrated, energy-first approach to building AI infrastructure, sourcing power and deploying …